Data Scientist Salary in India during 2022

Salary details

The average Data Scientist salary lies between USD 22,892 and USD 31,795 in India. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Oct. 28, 2024

Top 20 Job Tags for Data Scientist roles

The three most common job tag items assiciated with Data Scientist job listings are Python, Machine Learning and SQL. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Python | 2740 jobs Machine Learning | 2364 jobs SQL | 2008 jobs Statistics | 1994 jobs Engineering | 1885 jobs R | 1484 jobs Computer Science | 1477 jobs Research | 1436 jobs Mathematics | 1182 jobs Testing | 908 jobs ML models | 849 jobs PhD | 688 jobs Spark | 659 jobs AWS | 654 jobs Data analysis | 620 jobs NLP | 611 jobs Pipelines | 611 jobs Tableau | 604 jobs Economics | 589 jobs Deep Learning | 549 jobs

Top 20 Job Perks/Benefits for Data Scientist roles

The three most common job benefits and perks assiciated with Data Scientist job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 2225 jobs Health care | 997 jobs Startup environment | 867 jobs Flex hours | 756 jobs Flex vacation | 660 jobs Team events | 608 jobs Equity / stock options | 566 jobs Parental leave | 519 jobs Competitive pay | 510 jobs Insurance | 474 jobs Salary bonus | 375 jobs Medical leave | 363 jobs Wellness | 349 jobs 401(k) matching | 281 jobs Home office stipend | 259 jobs Conferences | 215 jobs Unlimited paid time off | 170 jobs Fitness / gym | 156 jobs Snacks / Drinks | 96 jobs Gear | 95 jobs

Salary Composition for Data Scientists in India

The salary composition for data scientists in India can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into three main components:

• Fixed Salary: This is the base salary that forms the bulk of the compensation package. It is a guaranteed amount paid to the employee, irrespective of the company's performance.

• Bonus: Bonuses are often performance-based and can vary widely. In larger tech companies or financial institutions, bonuses can be a significant part of the total compensation, sometimes ranging from 10% to 30% of the fixed salary.

• Additional Remuneration: This may include stock options, profit-sharing, or other incentives. Startups and tech giants often offer stock options as part of the compensation package, which can be lucrative if the company performs well.

Steps to Increase Salary

To increase your salary as a data scientist, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging technologies such as deep learning, natural language processing, and big data analytics. Mastering tools like TensorFlow, PyTorch, and Apache Spark can make you more valuable.

• Advanced Education: Pursuing a master's degree or a Ph.D. in data science, computer science, or a related field can open up higher-paying opportunities.

• Networking: Attend industry conferences, webinars, and workshops to connect with professionals and learn about new opportunities.

• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if you target industries or companies known for higher pay scales.

Educational Requirements

Most data scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or higher, especially for more advanced roles. A strong foundation in statistics, mathematics, and programming is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Analytics Professional (CAP): This certification is recognized globally and covers a broad range of analytics skills.

• Google Professional Data Engineer: This certification focuses on designing, building, and operationalizing data processing systems.

• Microsoft Certified: Azure Data Scientist Associate: This is ideal for those working with Azure's data science and machine learning services.

• AWS Certified Machine Learning – Specialty: This certification is beneficial for those working with AWS services.

Experience Requirements

Typically, entry-level data scientist roles require 1-3 years of experience in a related field. For mid-level positions, 3-5 years of experience is common, while senior roles may require 5-10 years of experience. Experience in data analysis, machine learning, and statistical modeling is highly valued.

Related salaries

Want to contribute?